Ecological risk assessment of Cd, As, Cr, and Pb metals in farmed wheat in the vicinity of an industrial park

Taghavi, Mahmoud; Mostahsari, Parisa; Sadat, Seyed Abdolmohammad; Kheirabadi, Masumeh; Mahdiar, Afarin; Sepehrikia, Saeed; Kahkha, Mohammad Reza Rezaei; Fakhri, Yadolah; Javan, Safoura

doi:10.1080/03067319.2021.1904914

Cited by 7 publications

(3 citation statements)

References 54 publications

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“…For , values of 6.30E + 00, 4.20E + 01, and 4.20E-02 mg/kg/day for Cd, Cr, and Pb, respectively were used. Also was based on values of 2.00E + 01, and 4.25E + 01 mg/kg/day for Cr and Ni, respectively 19 , 53 , 68 , 73 , 74 .…”

Section: Methodsmentioning

confidence: 99%

“…For instance, a study in China in 2014 showed that 19.4% of arable land across the country was contaminated by heavy metals 15 . The sources of TEs in soils include natural processes (volcanic eruptions, sea-salt sprays, forest fires, rock weathering, biogenic activities and wind-borne soil particulate matters) or human activities (mineral resource development, metal ores processing and smelting, chemical production, factory waste and wastewater irrigation) [16][17][18][19] . When high levels of TEs enter the soil environment, they destroy the structure and function of the environment and gradually deteriorate the soil quality and decrease the soil productivity and consequently affect human wellbeing via the food chain [20][21][22][23] .…”

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confidence: 99%

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Ecological risk assessment of trace elements (TEs) pollution and human health risk exposure in agricultural soils used for saffron cultivation

Taghavi

Darvishiyan

Momeni

et al. 2023

Sci Rep

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Contamination of farmland soils by trace elements (TEs) has become an international issue concerning food safety and human health risks. In the present research, the concentrations of TEs including cadmium (Cd), cobalt (Co), chromium (Cr), copper (Cu), manganese (Mn), nickel (Ni), lead (Pb), zinc (Zn) and iron (Fe) in soils of 16 farmlands were determined in Gonabad, Iran. In addition, the human health risks due to exposure to the TEs from the soils were assessed. Moreover, the soil contamination likelihood was evaluated based on various contamination indices including contamination factor $$(\mathrm{CF}$$ ( CF ), enrichment factor (EF), geo-accumulation index (Igeo), and pollution load index (PLI) calculations. The soil mean concentrations for Cd, Co, Cr, Cu, Mn, Ni, Pb, Zn and Fe ranges as 0.102, 6.968, 22.550, 29.263, 475.281, 34.234, 13.617, 54.482 and 19,683.6 mg/kg in farmland soils. The mean concentrations of the TEs decreased in the order of Fe > Mn > Zn > Ni > Cu > Cr > Pb > Co > As > Cd. Levels of all metals in this study were within the FAO/WHO and Iranian soil standards. The HQ values from investigated elements for adults and children in the studied farms were less than the limit of 1, indicating no health risks for the studied subpopulations. The results of the present research indicated no significant carcinogenic health hazards for both adults and children through ingestion, skin contact and inhalation exposure routes. $$\mathrm{CF}$$ CF values of Ni and Zn in 100% and 6.25% of farmlands were above 1, showing moderate contamination conditions. EF values of metals in farmlands were recorded as “no enrichment”, “minimal enrichment” and “moderate enrichment” classes. Furthermore, it can be concluded that the all farms were uncontaminated except Ni (moderately contaminated) based on Igeo. This is an indication that the selected TEs in the agricultural soils have no appreciable threat to human health.

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Section: Methodsmentioning

confidence: 99%

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confidence: 99%

Ecological risk assessment of trace elements (TEs) pollution and human health risk exposure in agricultural soils used for saffron cultivation

Taghavi

Darvishiyan

Momeni

et al. 2023

Sci Rep

Self Cite

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“…Mao et al [12] compared and analyzed the monitoring of heavy metal contamination of food products at home and abroad, and found that foreign countries monitored the "farm to table" process of determining the quality of food earlier, while China had problems such as difficulties in the precise tracing of factors including the origin environment, planting and cultivation measures and incomplete coverage of heavy metal indexes. Mahmoud et al [13] evaluated the ecological risk of Cd, As, Cr and Pb metals in wheat raised near industrial parks, and showed that no non-carcinogenic risk was found in the studied population through the four exposure routes; however, the carcinogenic risk of Cd, As and Pb was considerable through oral consumption of wheat and ingestion of soil. Li et al [14] analyzed the characteristics of heavy metal content in wheat grains and assessed the human health risks in a county in northern Henan Province, showing that the minimum health risk indicator for As, Cd and Cr was 6.32 × 10 −4 for adults and children, which exceeded the maximum acceptable risk range recommended by the U.S. Environmental Protection Agency (EPA) and posed a high carcinogenic risk.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Food Safety Risk Level of Wheat in China Based on Pyraformer Neural Network Model for Heavy Metal Contamination

Dong

Zhang

et al. 2023

Foods

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Heavy metal contamination in wheat not only endangers human health, but also causes crop quality degradation, leads to economic losses and affects social stability. Therefore, this paper proposes a Pyraformer-based model to predict the safety risk level of Chinese wheat contaminated with heavy metals. First, based on the heavy metal sampling data of wheat and the dietary consumption data of residents, a wheat risk level dataset was constructed using the risk evaluation method; a data-driven approach was used to classify the dataset into risk levels using the K-Means++ clustering algorithm; and, finally, on the constructed dataset, Pyraformer was used to predict the risk assessment indicator and, thus, the risk level. In this paper, the proposed model was compared to the constructed dataset, and for the dataset with the lowest risk level, the precision and recall of this model still reached more than 90%, which was 25.38–4.15% and 18.42–5.26% higher, respectively. The model proposed in this paper provides a technical means for hierarchical management and early warning of heavy metal contamination of wheat in China, and also provides a scientific basis for dynamic monitoring and integrated prevention of heavy metal contamination of wheat in farmland.

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Trace elements in commercially available infant formulas in Iran: Determination and estimation of health risks

Peirovi-Minaee,

Taghavi,

Harimi

et al. 2024

Food and Chemical Toxicology

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Ecological risk assessment of Cd, As, Cr, and Pb metals in farmed wheat in the vicinity of an industrial park

Cited by 7 publications

References 54 publications

Ecological risk assessment of trace elements (TEs) pollution and human health risk exposure in agricultural soils used for saffron cultivation

Ecological risk assessment of trace elements (TEs) pollution and human health risk exposure in agricultural soils used for saffron cultivation

Prediction of Food Safety Risk Level of Wheat in China Based on Pyraformer Neural Network Model for Heavy Metal Contamination

Trace elements in commercially available infant formulas in Iran: Determination and estimation of health risks

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